Senior Machine Learning Engineer
Tasks
- Benchmark model parallelization approaches
- Benchmark quantization approaches
- Benchmark sparsification approaches
- Build inference serving deployment pipelines
- Conduct model quantization research
- Conduct model sparsification research
- Develop LLM deployment pipelines
- Develop LLM training pipelines
- Develop inference optimization algorithms
- Implement model compression algorithms
- Mentor engineers
- Participate in technical design discussions
- Profile model performance
- Provide technical code reviews
Perks/Benefits
Skills/Tech-stack
Computer Vision | Deep learning | Gradient optimization | Graph theory | Inference Optimization | Language Models | Language Processing | Large Language Models | Linear Algebra | Machine Learning | Model Compression | Natural Language | Natural Language Processing | NumPy | Parallel Computing | Probability | PyTorch | Python | Quantization | Reinforcement Learning | Sparsification | Tensor math
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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